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  • Variational Bayesian Methods

Results for "variational bayesian methods"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

    Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Graphical Tools

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Predictive Modeling, Informatics, Biology, Computational Thinking, Bayesian Statistics, Machine Learning Algorithms, Statistical Analysis, Data Analysis Software, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    283 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Preview
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    P

    Peking University

    Nursing Research: Principles and Methods(护理研究:基本原理与方法)

    Skills you'll gain: Nursing, Science and Research, Clinical Research, Scientific Methods, Clinical Research Ethics, Medical Science and Research, Biostatistics, Epidemiology

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Applied Mathematics, Mathematical Theory & Analysis, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular variational bayesian methods courses

  • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
  • Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
  • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Game Theory: Stanford University
  • Statistics with Python: University of Michigan
  • Data Science Math Skills: Duke University
  • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
  • Data Analysis with R: Duke University

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